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=== Differential Methylation Site Analysis===
=== Differential Methylation Site Analysis===
=== Distance between ES, IPS and HF===


* human
* human

Revision as of 06:04, 30 June 2015

Genome-wide DNA methylation profile of reprogramming

Method

  • Download human and mice reprogramming dataset
  • Merge genome-wide DNA methylation data of human and mice
  • Dendrogram based on genome-wide DNA methylation data(Figure 1a and 1b)
  • PCA analysis based on genome-wide DNA methylation data(Figure 2a and 2b)
  • heatmap based on DMR and DMRs in CpG Shore region (Figuare 1c,1d,1e and 1f)

Result

Dendrogram and PCA analysis

  • PCA analysis based on genome-wide DNA methylation for human can be found here File:Figure2.PC13.pdf
  • PCA analysis based on genome-wide DNA methylation for mice can be found here

Differential Methylation Site Analysis

Distance between ES, IPS and HF

  • human
    • number of DMS


  • mice
    • number of DMS

Conclusion

  • For human ips and SCNT data, the methylation status of 4377908 CpG were shared by 11 samples(2 ES, 1 Fibroblast, 4 ips and 4 SCNT). PCA analysis based on the genome-wide DNA methylation data showed the first and second principle component can explain almost 50% variances. In the dimension of first component fibroblast were obviously separated with ES,ips and SCNT. In the dimension of the second component, ES was separated with ips and SCNT with clear boundary.
  • For mice ips and SCNT data, the methylation status of 4909250 CpG were shared by 9 samples(1 ES, 4 ips and 4 SCNT). PCA analysis based on the genome-wide DNA methylation data showed the first and second principle component can explain almost 50% variances. In the dimension of first component fibroblast were obviously separated with ES,ips and SCNT. In the dimension of the second component, ES was separated with ips and SCNT with clear boundary.

Highlight

Supplemenatry

  • For mice

Reference

  • 1.Ma H, Morey R, O'Neil RC, He Y, Daughtry B, Schultz MD, et al. Abnormalities in human pluripotent cells due to reprogramming mechanisms. Nature. 2014;511(7508):177-83. Epub 2014/07/11.
  • 2.
  • 3.